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Research
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Research
454 followers · 618 following

Sponsors

@AriMcBrown

Achievements

Achievement: Pair Extraordinairex3Achievement: Galaxy BrainAchievement: Public SponsorAchievement: Pull Sharkx3Achievement: YOLOAchievement: QuickdrawAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex3Achievement: Galaxy BrainAchievement: Public SponsorAchievement: Pull Sharkx3Achievement: YOLOAchievement: QuickdrawAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Organizations

@gdgsamsun

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onuralpszr/README.md

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Greetings! I'm Onuralp, a seasoned Senior Software Engineer proficient in Python, Kotlin, C++, Rust and OpenCV. My expertise lies in the captivating realms of AR, Machine Learning, Deep Learning, and Computer Vision. Engaging in extensive DevOps and MLOps practices further complements my skill set.

I am a long term Contributor and Mindshare Member,Fedora KDE SIG Member,Fedora Website and Apps Team Member and RPM Packager at Fedora Project. I am also member of Samsun - Google Developer Group as team member and speaker related around Machine learning and Computer Vision.

Professionally, I use Python development on backend side of works and on mobile side I used Kotlin and flutter with Google technologies such as ARCore, Mediapipe, Firebase, FlatBuffers and many others. On ML sides I used Tensorflow, Tensorboard, Keras, Jax, Pytorch. These tools enable me to incorporate ML/DL/AI into apps and products. Additionally, I use the Unity engine for creating AR and ML applications.

In addition to my diverse skill set, I am actively contributing to a computer vision project named Supervision. Supervision is dedicated to crafting reusable computer vision tools tailored to a wide array of needs. This project embodies my commitment to advancing the field of computer vision, offering robust solutions that empower developers and researchers alike.

I am also contributing various FLOSS and OSS projects around GitHub/Gitlab/Pagure and other platforms to make everyone and developers lives better.



Onuralp's GitHub stats Onuralp's GitHub Streak stats

Here is my Arsenal Tools and Skills I use;

Programming

Python Kotlin Dart cpp c GNU Bash JavaScript TypeScript HTML CSS Rust

Backend-as-a-Service (Baas)

Firebase Appwrite

Web Servers

Nginx Apache Traefik

Framework & Libraries

FastAPI Django Django Rest Framework Flask Angular Qt Flutter Android Tensorflow PyTorch PyTorch PyTorch Onnx Onnx-runtime OpenCV Mediapipe luxonis-depthai-core

Game Engines

Unity UnrealEngine Godotengine

Databases

PostgreSql SQLite MySQL MariaDB

VPN Servers

WireGuard OpenVPN

Virtualization Platforms

QEMU VirtualBox VMware VMwareESXI

Software and tools

Git Meson Cmake Docker Podman Dependabot Nvidia LLVM Postman Conventional Commits Stack Overflow Visual Studio Code PyCharm Clion Android Studio Jupyter Kubernetes Blender GithubActions Anaconda Ansible

Linux Distributions

Fedora CentOS RHEL OpenSUSE Ubuntu Debian

Platforms

Linux Windows OSX

Cloud Providers

Amazon AWS Azure Google Cloud

Current project(s) I'm working/worked on

Useful links

If you want to stay in touch with me, these links can be useful.

Certifcations

@osezer's Holopin board

Mentorship Programs

Pinned Loading

  1. CvCamera-Mobile CvCamera-Mobile Public

    Using OpenCv's Android Camera2(JavaCamera2View) with OpenCV 4.10.0

    Kotlin 34 10

  2. DepthAiAndroidToolbox DepthAiAndroidToolbox Public

    DepthAi Android Toolbox Application For OAK-D Devices

    C++ 11 4

  3. GFPGAN-ncnn-vulkan GFPGAN-ncnn-vulkan Public

    [WIP] NCNN with Vulkan implementation of GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration

    C++ 42 8

  4. roboflow/supervision roboflow/supervision Public

    We write your reusable computer vision tools. 💜

    Python 24.3k 1.8k

  5. kopikatAPI kopikatAPI Public

    KopikatAPI is Python library for interacting with the Kopikat API.

    Python 16

  6. AndroidRustCVCam AndroidRustCVCam Public

    Android's Jetpack Compose with Rust and OpenCV by using Android Camera

    Kotlin 1